JPMorgan Lead Software Engineer Data 

United States, Texas, Plano 

120866448

Job responsibilities:

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Hands-on experience with AWS Glue, AWS Athena, EMR, Lambda, and Step-functions with API Gateway, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2, AWS Lake Formation
• Very strong coding and debugging skill
• Proficient in coding in one or more languages, preferably in Java 8+ and Python.
• Having at least 4 years of proven professional experience with Java/Spring Boot
• Having excellent knowledge of & experience with event driven, microservice, REST/API, cloud based architectures
• Hands-on working experience with testing, releasing, and CI/CD pipeline deployments in AWS public cloud
• Experience with reliability practices and observability tools, such as CloudWatch, Prometheus, Datadog
• Hands-on working experience with Bitbucket, Terraform, Jenkins, Artifactory, DataDog, ServiceNow
• Practical cloud native experience

• Strong AWS cloud experience.
• Experience with Big data (Spark) .
• Exposure to Kubernetes and building, deploying micro services on cloud.